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To boost performance of their biomedical software environment, many research institutions and groups have set up local computational resources - computer clusters and storage solutions that are supposed to address the increasing data deluge. These resources are becoming insufficient as the organization’s computing needs grow over time. Cloud computing is a technology solution to help users of local computer clusters and storage solutions migrate their tasks to a new efficient environment. This Symposium will cover real-world use cases across drug discovery & design, research & collaboration, molecular modeling, NGS, proteomics, and bioinformatics. We will explore the drivers of cloud computing in life sciences - speed, costs, governance, capacity, service levels, data location, and architecture.
Sunday, February 19
7:30 am Registration and Morning Coffee
8:25 Chairperson's Opening Remarks
8:30 The Why, What, How and Future of Cloud
Todd Papaioannou, Ph.D., Entrepreneur-in-Residence, Battery Ventures; Former Vice President, Cloud Architecture, Yahoo! Inc.
Is Cloud Computing just marketing hype? Why build Clouds? How can they benefit your organization? This presentation provides an overview of Cloud computing, the rationale for it as a technology trend, and the implications for the future of Computing and IT.
9:00 Cloud Computing and Big Data: How Both Can Work Together
Jimmy Lin, Ph.D., Professor, College of Information Studies, University of Maryland
9:30 A Platform for Data Science
Deepak Singh, Principal Product Manager, Amazon Web Services
Data intensive science requires new approaches to data management, analysis and sharing. This talk covers distributed systems, "data science", and the potential of a very large scale cloud service, Amazon Web Services, as a platform for data intensive biology.
10:00 Networking Coffee Break with Poster Viewing
10:30 Orchestrating the Cloud
Chris Dagdigian, Principal Consultant, Cloud Consulting & HPC Practice, BioTeam, Inc.
This talk will discuss tools for automating the deployment of complex systems into the cloud that maximize efficiency and auditability while reducing operational and systems management burden.
11:00 Big Data Bioinformatics Analytics Using the Hadoop Software Ecosystem
Ronald Taylor, Ph.D., Research Scientist, Pacific Northwest National Laboratory (U.S. Deptartment of Energy, Battelle)
This talk will present an overview of Apache Hadoop and associated open source software projects. The basic concepts behind Hadoop and HBase will be outlined, current usage within the bioinformatics community will be presented (focusing on next-gen sequencing), and future directions will be described.
11:30 Biopharma Case Study: Rewiring Bioinformatics for Cloud Computing to Drive the Re-Foundation of Sequence Analysis Algorithms
Jonas Almeida, Ph.D., Professor, Director, Division Informatics, Department Pathology, University of Alabama Birmingham
Personalization of medicine and the emergence of the Web 3.0 is pushing bioinformatics workflows to take full advantage of scalable MapReduce programming patterns facilitated by cloud computing. This is the key rewiring of resource usage at the core of cloud based data processing.
12:00 pm Luncheon Presentation
The Roadmap to HPC Cloud
Chris Porter, Product Manager, HPC Cloud, Platform Computing
For organizations challenged by large datasets, application performance and finite budgets, cloud computing presents a new opportunity to squeeze more utility from existing infrastructure. This session outlines best practices for evaluating whether HPC Cloud is a viable option and provides a roadmap for implementation.
12:30 Luncheon Presentation (Sponsorship Opportunity Available) or Lunch on Your Own
1:25 Chairperson's Remarks
1:30 An Expert's Guide through the Identity Landscape
Rich Furr, Head, Global Regulatory Affairs and Chief Compliance Officer, SAFE-BioPharma AssociationThis presentation will provide an overview of US and EU government and industry-driven identity management initiatives to develop a trusted internet identity capability community. It will include types and levels of identity credentials, government and industry organizations involved in establishing identity trust infrastructures, applicable standards, governance models and approaches to cloud based identity management.
2:00 Research Collaboration in the Cloud: How NCI and Research Partners are Using Interoperable Digital Identities, Digital Signatures, and Cloud Computing to Accelerate Drug DevelopmentSteven Friedman, MHSA, Chief, Clinical Trials Operations and Informatics Branch, Cancer Therapy Evaluation Program, National Cancer InstituteThe presentation will describe a recent pilot study involving government (NCI) and industry (Bristol-Myers Squibb, sanofi-aventis) cancer researchers showing that use of interoperable digital identities, digital signatures and cloud computing accelerates initiation of a clinical trial while lowering its costs.
2:30 The Role of a Standard-Based Interoperable Digital Identity in Unlocking the Cloud
Mollie Shields-Uehling, President & CEO, SAFE-BioPharma AssociationThe challenges associated with the use of cloud computing in clinical trials include managing secure access, true authentication of the user’s identity, and the ability to apply legally binding digital signatures to electronic documents across a broad range of global participants. This presentation will explore the use of a single, universal interoperable digital identity, its role in the NCI-CTEP pilot, and its ability to improve clinical trial management, globally.
3:00 Networking Refreshment Break with Poster Viewing
3:30 Biopharma Case Study: Running HPC Workflows in the Cloud
Jonathan A. Klinginsmith, Senior Systems Analyst, Eli Lilly
4:00 Biopharma Case Study: NGS Cloud Based Analysis
Giles Day, Co-Founder and Managing Director, Distributed Bio, LLC
4:30 Applying Biomedical Semantics in the Cloud: Current Weather and Forecasts
Jim McCusker, Tetherless World Constellation, Rensselaer Polytechnic Institute; Krauthammer Lab, Yale School of Medicine
5:00 Close of Day